Senior to Mid-level Machine Learning Engineer, PlayStation

• We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives
• Masters degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent technical degree with experience
• 5 years + experience in applied machine learning or related fields with strong NLP, statistical and analytical knowledge
• 3-5 years of prior experience in Trust and Safety or using ML to solve content moderation problems
• Experience with Python or Scala or Java
• Experience in developing production-level large-scale ML models and data pipelines
• Industry work experience in designing and implementing machine learning-based solutions that ideally include: online safety, voice-activated conversational systems, time series forecasting, and A/B testing

Desirable

• The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems
• Build and deploy ML models to detect and offensive content in areas like abuse, and child safety across modalities like text, voice and images
• Work with a broad spectrum of state of the art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modeling and multi-modal learning
• Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders
• Maintain and produce reusable code according to standard methodologies in Python, Scala or Java with adherence to best practices
• Collaborate with cross-functional teams of technical members and non-technical members in architecture, design and code reviews